| 2026 | AAAI | Covariance Scattering Transforms. | Andrea Cavallo, Ayushman Raghuvanshi, Sundeep Prabhakar Chepuri, Elvin Isufi |
| 2025 | ACSSC | Robust Covariance Neural Networks. | Andrea Cavallo, Ayushman Raghuvanshi, Sundeep Prabhakar Chepuri, Elvin Isufi |
| 2025 | ACSSC | Directed Acyclic Hypergraphs: Topology Identification from Nodal Data. | Geert Leus, Yongsheng Han, Elvin Isufi, Antonio G. Marques |
| 2025 | ACSSC | Change Point Detection, Localization, and Imputation of Topological Signals. | Rohan T. Money, Baltasar Beferull-Lozano, Elvin Isufi |
| 2025 | ICASSP | Fair CoVariance Neural Networks. | Andrea Cavallo, Madeline Navarro, Santiago Segarra, Elvin Isufi |
| 2025 | ICASSP | Bayesian Filtering on Graphs. | Bishwadeep Das, Madeline Navarro, Santiago Segarra, Elvin Isufi |
| 2025 | ICASSP | Higher-Order Topological Directionality and Directed Simplicial Neural Networks. | Manuel Lecha, Andrea Cavallo, Francesca Dominici, Elvin Isufi, Claudio Battiloro |
| 2025 | ICASSP | Tracking Network Dynamics using Probabilistic State-Space Models. | Victor M. Tenorio, Elvin Isufi, Geert Leus, Antonio G. Marques |
| 2024 | ACSSC | Kalman Filtering for Simplicial Processes. | Rohan T. Money, Mohammad Sabbaqi, Joshin Krishnan, Baltasar Beferull-Lozano, Elvin Isufi |
| 2024 | AISTATS | Hodge-Compositional Edge Gaussian Processes. | Maosheng Yang, Viacheslav Borovitskiy, Elvin Isufi |
| 2024 | ICASSP | Learning Graphs and Simplicial Complexes from Data. | Andrei Buciulea, Elvin Isufi, Geert Leus, Antonio G. Marques |
| 2024 | ICASSP | Tensor Graph Decomposition for Temporal Networks. | Bishwadeep Das, Elvin Isufi |
| 2024 | ICASSP | Hodge-Aware Contrastive Learning. | Alexander Mllers, Alexander Immer, Vincent Fortuin, Elvin Isufi |
| 2024 | ICASSP | Evolution Backcasting of Edge Flows From Partial Observations Using Simplicial Vector Autoregressive Models. | Rohan T. Money, Joshin Krishnan, Baltasar Beferull-Lozano, Elvin Isufi |
| 2024 | ICASSP | Inferring Time Varying Signals over Uncertain Graphs. | Mohammad Sabbaqi, Elvin Isufi |
| 2023 | ICASSP | Online Vector Autoregressive Models Over Expanding Graphs. | Bishwadeep Das, Elvin Isufi |
| 2023 | ICASSP | Simplicial Vector Autoregressive Model For Streaming Edge Flows. | Joshin Krishnan, Rohan T. Money, Baltasar Beferull-Lozano, Elvin Isufi |
| 2023 | ICASSP | Online Edge Flow Prediction Over Expanding Simplicial Complexes. | Maosheng Yang, Bishwadeep Das, Elvin Isufi |
| 2022 | ACSSC | Online Filtering over Expanding Graphs. | Bishwadeep Das, Elvin Isufi |
| 2022 | ACSSC | Learning Stable Graph Neural Networks via Spectral Regularization. | Zhan Gao, Elvin Isufi |
| 2022 | ACSSC | Simplicial Trend Filtering (Invited Paper). | Maosheng Yang, Elvin Isufi |
| 2022 | ICASSP | Learning Expanding Graphs for Signal Interpolation. | Bishwadeep Das, Elvin Isufi |
| 2022 | ICASSP | Convolutional Filtering in Simplicial Complexes. | Elvin Isufi, Maosheng Yang |
| 2022 | ICASSP | Simplicial Convolutional Neural Networks. | Maosheng Yang, Elvin Isufi, Geert Leus |
| 2021 | ACSSC | Online Graph Learning From Time-Varying Structural Equation Models. | Alberto Natali, Elvin Isufi, Mario Coutino, Geert Leus |
| 2021 | ICASSP | Variance-Constrained Learning for Stochastic Graph Neural Networks. | Zhan Gao, Elvin Isufi, Alejandro Ribeiro |
| 2021 | ICASSP | Topological Volterra Filters. | Geert Leus, Maosheng Yang, Mario Coutino, Elvin Isufi |
| 2021 | ICASSP | Online Time-Varying Topology Identification Via Prediction-Correction Algorithms. | Alberto Natali, Mario Coutino, Elvin Isufi, Geert Leus |
| 2021 | ICASSP | Nonlinear State-Space Generalizations of Graph Convolutional Neural Networks. | Luana Ruiz, Fernando Gama, Alejandro Ribeiro, Elvin Isufi |
| 2021 | RecSys | GReS: Workshop on Graph Neural Networks for Recommendation and Search. | Thibaut Thonet, Stphane Clinchant, Carlos Lassance, Elvin Isufi, Jiaqi Ma, Yutong Xie, Jean-Michel Renders, Michael M. Bronstein |
| 2020 | ACSSC | Rational Chebyshev Graph Filters. | Oxana Rimleanscaia, Elvin Isufi |
| 2020 | ICASSP | Active Semi-Supervised Learning for Diffusions on Graphs. | Bishwadeep Das, Elvin Isufi, Geert Leus |
| 2020 | ICASSP | Stochastic Graph Neural Networks. | Zhan Gao, Elvin Isufi, Alejandro Ribeiro |
| 2020 | ICASSP | Forecasting Multi-Dimensional Processes Over Graphs. | Alberto Natali, Elvin Isufi, Geert Leus |
| 2019 | ACSSC | Design Strategies for Sparse Control Of Random Time-Varying NETWORKS. | Mario Coutino, Elvin Isufi, Fernando Gama, Alejandro Ribeiro, Geert Leus |
| 2018 | ACSSC | On The Limits of Finite-Time Distributed Consensus Through Successive Local Linear Operations. | Mario Coutino, Elvin Isufi, Takanori Maehara, Geert Leus |
| 2018 | ACSSC | Observing Bandlimited Graph Processes from Subsampled Measurements. | Elvin Isufi, Paolo Banelli, Paolo Di Lorenzo, Geert Leus |
| 2018 | ICASSP | Control of Graph Signals Over Random Time-Varying Graphs. | Fernando Gama, Elvin Isufi, Geert Leus, Alejandro Ribeiro |
| 2017 | ACSSC | Predicting the evolution of stationary graph signals. | Andreas Loukas, Elvin Isufi, Nathanal Perraudin |
| 2017 | ICASSP | Distributed sparsified graph filters for denoising and diffusion tasks. | Elvin Isufi, Geert Leus |
| 2017 | ICASSP | Autoregressive moving average graph filters a stable distributed implementation. | Elvin Isufi, Andreas Loukas, Geert Leus |